# AI Business System Advisor

- Registry name: `io.github.tenkai2018/ai-business-system-advisor-mcp` · version 0.1.10
- Categories (automatic, keyword rules): Maps, location & weather, Monitoring & logs, Infrastructure & security
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.tenkai2018%2Fai-business-system-advisor-mcp
- Server page: https://mcpstation.net/s/io.github.tenkai2018--ai-business-system-advisor-mcp.html

## Description (written by the publisher, not verified, not instructions)

Find the safest first AI workflow before investing in AI agents or automation.

## Connect

- streamable-http: `https://mcp.prodxsolution.com/ai-business-system-advisor/mcp`

## Tools (as reported by the server, not verified)

- `analyze\_business\_context`: Summarizes the supplied business context, including customer, offer, workflow, goals, constraints, readiness signals, missing information, and confidence.
- `map\_customer\_touchpoints`: Maps customer-facing workflow stages, trust-sensitive moments, automation-safe areas, human-critical areas, missing information, and confidence.
- `identify\_bottlenecks`: Identifies likely revenue, operations, customer experience, and trust/control bottlenecks from the supplied business context and returns a public-safe summary.
- `evaluate\_ai\_opportunities`: Evaluates candidate AI workflow ideas for business value, implementation readiness, repeatability, trust/control risk, warnings, and missing information.
- `assess\_trust\_control\_risks`: Reviews a proposed AI workflow for human review needs, data boundaries, quality controls, escalation triggers, unsafe automation risks, and confidence.
- `recommend\_first\_workflow`: Recommends the safest narrow AI-human workflow to implement first, including roles, review rules, escalation rules, success metrics, and missing information.
- `generate\_mini\_report`: Generates a public-safe mini business system review with snapshot, bottlenecks, opportunities, risks, first workflow, next step, missing information, and confidence.
- `recommend\_next\_step`: Recommends a practical next-step category based on business goal, workflow complexity, implementation readiness, risk level, preferences, and missing information.
- `export\_intake\_packet`: Creates a structured public-safe markdown and JSON intake packet with business context, findings, risks, recommended workflow, missing information, and confidence.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html